摘要
对于认知无线电通信信号识别在低信噪比情况下识别率低,以及识别速度慢的情况提出了一种改进的方案。通过将传统识别方法和包络高阶特征J识别方法各自的优点进行综合,并采用特征值提取和判断结合的方法,弥补了上述缺点。仿真结果表明,采用该改进方案,在低信噪比(不低于0 dB)情况下,信号识别率可达88%以上,且识别速度也较为满意。
According to the situation that the recognition probability of cognitive radio （CR） commuication signal is low and recognition speed is slow under the lower signal -to -noise ratio（SNR） condition, this paper proposes an improved method of modulation signal recognition. The new method can not only strength its ability of signal recognition under the lower SNR, but also process the signal in high speed. Simulation results indicate that the performance of the proposed method is much better than that of using the classical envelope modulation methods and the higher order envelope characteristic J independently. Under the low SNR （no less than 0dB） condition,the recognition probability is more than 88%.
出处
《电讯技术》
北大核心
2009年第9期84-86,共3页
Telecommunication Engineering
关键词
认知无线电
信号识别
特征值提取
包络高阶特征
cognitive radio（CR）
signal recognition
feature extraction
higher order envelope characteristic
